Core platform · Analytics

With Grid Data Enhanced Analytics.
Your network on a map, live —
and solved.

GDEA joins the connectivity model from ArcGIS with real-time SCADA telemetry and the utility’s AMI meter reads and events, and serves one operational picture across electricity, gas, and water — with power-flow and hydraulic solvers, a what-if scenario sandbox, a complete large-load interconnection workflow, and a library of analysis checks on top — in the family’s shared shell, with a published API contract behind it.

Millions
assets on the live map
3 Commodities
electricity · gas · water
High Throughput
telemetry ingested & stored
Checks & Solvers
scoped per commodity
enhanced-analytics / network map LAYERS Feeders SubstationsTransformers MetersComms energised lateral fault fault located 1.53M assets · vector tiles SAIDI (12 mo) 86.4 minutes Feeder headroom 2.4 MW Assets at risk 37 transformers Telemetry 8,000/s Monitoring only — no command path to the field GIS model joined to live SCADA · updated continuously

The network eye

Three networks, one platform, real physics

The connectivity model knows what each network is; SCADA and AMI know what is happening to it. GDEA joins them — permanently, at full scale, for electricity, gas, and water — then puts real solvers on top: power flow per electric feeder, hydraulic solves for gas and water. Every analysis falls out of that join: where the fault is, which regulator will fail on the next cold morning, which water district is leaking, and what building the next project would actually fix. And when a data-centre-scale request lands on the interconnection queue, GDEA answers it end to end — from honest queue totals to the engineering at the point of connection.

What falls out of the join

Live network map

Vector tiles keep millions of assets fluid at every zoom, with live telemetry and events overlaid on the model — and every meter modelled at a real addressed building.

Reliability engineering

SAIDI, SAIFI, CAIDI, MAIFI, and CEMI computed to IEEE 1366 from the utility’s own event history.

Fault location, twice over

From measured fault current, and independently from which meters went dark — both shown on the map.

Capacity, voltage & demand

Feeder headroom with the binding constraint named, conservation voltage reduction analysis, and demand broken down by customer class.

Asset health & failure risk

Transformer thermal ageing from loading and ambient temperature, plus a per-asset probability of failure from a trained model.

Large-load interconnection

The data-centre queue as a register: duplicate-candidate netting with two honest totals, point-load feasibility per ramp step, and a ladder of connection options solved against one base and ranked by cost per megawatt admitted.

Model quality analysis

Continuous checks on the imported GIS model — connectivity, phasing, and data gaps, found before they mislead an operator.

Communications view

The comms topology from field device to utility, separating telemetry outages from power outages.

Gas analytics suite

Unaccounted-for gas, regulator performance measured as droop, odorant and pressure integrity, line pack, and a graded leak register with due dates.

Water leakage analytics

Minimum night flow per district metered area against what its properties can account for — the 03:00 reading that says a district is leaking.

Scenario sandbox

Reconductor a feeder, replace a main, re-set the city gate — base and scenario solve in the same call, so the difference is the change and nothing else. A refusal, with reasons, is a first-class answer.

Cross-commodity interdependency

What a failure in one network does to plant in another — the de-energised feeder carrying a pump station — inferred from geometry and labelled as such.

Investment planning

Candidate projects ranked against the constraints the analytics actually found — what to build, and in what order.

Integrated by contract

A published OpenAPI document for every operation, derived from the running code so it cannot drift: bearer credentials, the roles each operation requires, the 503 the registration gate returns, and the RFC 7807 problem envelope every error uses.

How it works

See it, end to end

GIS connectivity model ArcGIS — electricity, gas & water Live SCADA telemetry DNP3 / IEC-104 — telemetry & events AMI meter data Reads, events & comms — via GDM One live picture — mapped and solved fault located power flow gas hydraulics water solve millions of assets, fluid · solvers keep the numbers honest Scenario what-if Data-centre queue Faults — two methods Reliability & capacity Asset health & risk Gas: UAG · leaks Water: night flow Monitoring-only by architecture: there is no command path to the field — safe for every desk in the utility.
1

Import the model

The connectivity model arrives from ArcGIS — assets, topology, phasing, geometry — checked by continuous model-quality analysis.

2

Terminate the protocols

The gateway speaks DNP3 and IEC-104 to the SCADA estate, translating one way: inward — and AMI reads and events arrive already validated from the Grid Data Management Platform.

3

Join and store

Telemetry lands against the model through a high-throughput Kafka-to-database path — timescaled for history, tiled for the map.

4

Solve the networks

Power flow runs per electric feeder; hydraulic solves run for gas and water — and the scenario sandbox reuses the same solvers for what-if.

5

Serve every audience

The same joined picture powers the control room, the planner, the reliability engineer, and the executive dashboard.

Use cases

Where it earns its keep

Control-room awareness

One live map of what the network is and what is happening to it, right now.

Storm and outage response

Fault locations from two independent methods shorten patrols and restoration.

Regulatory reporting

IEEE 1366 indices computed from source data, defensible in front of a regulator.

DER & load-growth planning

Capacity headroom, CVR analysis, and the scenario sandbox show where the next EV fleet or solar farm can connect — and what to build if it cannot.

Evidence-based asset management

Failure risk, thermal ageing, and ranked project planning turn replacement budgets into defensible lists.

GIS data quality programs

Model analysis turns the GIS clean-up backlog into a ranked worklist.

Data-centre interconnection

Triage the request queue with honest totals, test feasibility per ramp step, and rank the connection options that admit the most megawatts per dollar.

Gas loss & integrity programs

Unaccounted-for gas, regulator droop, line pack, and the graded leak register — one platform.

Water loss reduction

Night-flow analysis per district ranks where leakage recovery pays back first.

Part of the Grid Data Family

Every family application shares one identity platform, one design system, one registration pattern, and one deployment path.

Meter-side truth beside GDEA’s network-side view.

Embeds GDEA insight into dashboards and wallboards.

Supplies SCADA and meter feeds in every test environment.

See Grid Data App Manager live

A working demonstration takes thirty minutes — on our environment or yours, with realistic simulated data.

Contact

8100 Penn Ave S, suite 150j, Bloomington, MN – 55431

 +1 (763) 353-4363

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